similar to: Calculating survival for set time intervals

Hello friends and fellow R users, I have a problem to which I have been unable to find a solution: I am gathering survival data on patients undergoing treatment with a new kind of stent. I want to generate survival data and plot survival curves of these patients based (among other things) on the treating physician. My data set has been tabulated in the following manner: Date (the date the stent

[Just starting out with DTrace and was hoping to get some guidance.] I have a "benchmark" program that I monitored with both prstat (prstat -mL -P <PID>) and pfilestat (from the DTrace toolkit). Prstat reports LAT values in the 0.1-0.2% range, but pfilestat reports "waitcpu" values in the 6-10%. Since those two numbers supposedly represent time waiting for the CPU,

Greetings, I'm having some difficulties with evaluating very long expressions (Windows/Linux 2.0.1), as seen below, and would greatly appreciate any help, thoughts or work arounds. Let's say that I wanted to see what I would get if I added 1 to itself 498 times. One way of doing this would be to evaluate the expression 1+1+1+... > eval(parse(text = paste(rep(1, 498), collapse =

Hi, I'm trying to get my * server connected to a softswitch through an SBC. I get the following error when * trys to register. Got SIP response 423 "Interval Too Brief" back from xxx.xxx.xxx.xxx Jan 20 12:43:54 NOTICE[2138]: chan_sip.c:5473 sip_reg_timeout: -- Registration for '1234561234@xxx.xxx.xxx.xxx ' timed out, trying again (Attempt #9) Is there something I can

Hello Thomas and Amit, Thanks for your notice and the detailed decode performance report. I describe the details of my encode/decode test on STM32F407ZG. A. opus version: latest 1.2.1 (TI: opus 1.1.2) B. KEIL 5.23 (TI: ARM compiler tool chain 5.2.7) C. setup the encoder as the below (fs is the sampling frequency) enc = opus_encoder_create(fs, chans, OPUS_APPLICATION_AUDIO, &opus_err);